File: test14.m

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ufsparse 1.2-7
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% compare droptol with the equivalent MATLAB

rand ('state', 0) ;

for trial = 1:100
    m = fix (100 * rand (1)) ;
    n = fix (100 * rand (1)) ;
    d = 0.1*rand (1) ;
    A = sprandn (m,n,d) ;
    [i j x] = find (A) ;
    A = sparse (i,j,2*x-1) ;
    fprintf ('test14 m %3d n %3d nz %d\n', m, n, nnz (A)) ;
    Aorig = A ;

    % using CSparse
    tol = 0.5 ;
    B = cs_droptol (A, tol) ;

    % using MATLAB
    [m n] = size (A) ;
    s = abs (A) > tol ;
    [i j] = find (s) ;
    x = A (find (s)) ;
    A = sparse (i, j, x, m, n) ;

    if (norm (A-B,1) > 0)
	error ('!') ;
    end
end